1,906
Views
34
CrossRef citations to date
0
Altmetric
Review Article

Research Progress on Metal-Organic Framework Composites in Chemical Sensors

ORCID Icon, , & ORCID Icon
Pages 376-392 | Published online: 29 Jul 2019
 

Abstract

Metal-organic framework (MOF) is a new generation of crystalline porous materials that are characterized by simple synthesis conditions, diverse structure, and modified pore surface. MOFs suffer from low mechanical strength and poor chemical stability, limiting their development and application. The construction of MOF composites can effectively compensate for these defects while introducing new properties and functions. Compared with single materials, MOF composites exhibit greater specific surface area and porosity, stability, and catalytic performance and other functions. This review summarizes the synthesis methods and different types of MOF composites. Recent developments on the function and application of MOF composites in chemical sensors are presented. Finally, the prospects for the future development of MOF composite-based sensors are emphasized in many cases.

Additional information

Funding

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 21765006), the Natural Science Foundation of Guangxi Province of China (No. 2015GXNSFFA139005), supported by Guangxi Colleges and Universities Key Laboratory of Food Safety and Detection.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 451.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.